Air conditioner control device based on user habit recommendation function in previous day

Abstract

The utility model discloses an air conditioner control device based on a user habit recommendation function in the previous day. The air conditioner control device comprises a control device body, a data recording module, a recommendation generation module and a start confirmation module. By automatically recording the use data of the user in the previous day and generating appropriate timing suggestions in similar time periods, the user only needs to confirm starting through a touch screen, a key or voice, parameters do not need to be set again, and operation is convenient and fast. Particularly, the recommendation generation module can directly recommend the turn-off time of the air conditioner, the user is prevented from calculating the time, and use is more visual and accurate. The design not only improves the convenience, but also is especially suitable for old users, and greatly improves the user experience and satisfaction. And meanwhile, the function of automatically generating the suggestions saves the time of manually setting the air conditioner parameters every day by the user, and the life efficiency can be improved.

Description

Technical Field

[0001] The utility model relates to the technical fields of household appliances and intelligent control, and particularly relates to an air conditioner control device with a function of recommending based on the user's habits of the previous day. Background Art

[0002] At night, users usually use the timing function of the air conditioner to ensure a comfortable temperature during sleep and automatically turn off the air conditioner at a specific time to save energy. However, there are some obvious problems in the existing air conditioner control devices during use:

[0003] 1. Repeated operations are cumbersome: Users need to manually set the timing parameters of the air conditioner every night, including the start time, end time, and operation mode, etc. Such repeated operations are not only time-consuming and laborious, but also prone to setting errors, affecting the user experience and the use efficiency of the air conditioner.

[0004] 2. Lack of a recommendation function based on the previous day's timing time and timing habits: The existing air conditioner control devices cannot provide a recommendation function at specific time periods according to the user's usage habits of the previous day. Users need to manually set the air conditioner parameters every night before going to bed, lacking an intelligent and personalized experience.

[0005] 3. For elderly users, due to reduced memory or eyesight, they often encounter difficulties in operating the air conditioner control device and are prone to pressing the wrong buttons, resulting in a poor user experience. For example, elderly users may forget to set the timing function because they cannot remember the complex operation steps, or they cannot see the buttons clearly during operation, resulting in inaccurate settings.

[0006] 4. When setting the timing with the existing remote control, users need to first calculate the number of hours until the stop time mentally and then press the remote control multiple times to set this number of hours on the air conditioner remote control, which is rather troublesome to operate.

[0007] To solve this problem, in the prior art, there is a remote control structure with weekly timing. Although this weekly timing reduces the cumbersome operation of repeated settings to a certain extent, it has the following deficiencies:

[0008] 1. The time span is relatively large: The weekly timing function sets the timing parameters according to a one-week cycle. Users can only set fixed times and modes every week and cannot flexibly adjust according to the specific daily needs. This method is not very applicable to users with changing daily schedules.

[0009] 2. Lack of personalization: The weekly timing function cannot provide personalized recommendations according to the user's specific usage habits and still lacks an intelligent experience. Users may have different needs in different seasons and different weather conditions, and the weekly timing function cannot meet such personalized needs.

[0010] Therefore, how to simplify the user operation, improve the usability and personalized experience has become the technical problem to be solved by this utility model. Summary of the Utility Model

[0011] The technical problem solved by this utility model is to provide an air conditioner control device with a function of recommending based on the user's habits of the previous day to solve the problems of cumbersome repeated operations, lack of intelligent recommendation and being unfriendly to elderly users as mentioned in the above background technology.

[0012] To solve the above technical problem, the technical solution adopted by this utility model is as follows:

[0013] An air conditioner control device with a function of recommending based on the user's habits of the previous day includes a control device main body, a data recording module, a recommendation generation module and a confirmation and start module;

[0014] The control device main body is used to accommodate each module;

[0015] The data recording module is arranged inside the control device main body and is used to record the time period and / or the timing duration data of the user's timing on the previous day, and these data are used to analyze the user's usage habits;

[0016] The recommendation generation module is connected to the data recording module and is arranged inside the control device main body and is used to generate usage suggestions based on the data recorded by the data recording module;

[0017] The confirmation and start module is connected to the recommendation generation module and is arranged on the control device main body and is used for the user to confirm and start the usage suggestions generated by the recommendation generation module.

[0018] As a further scheme of this utility model, the usage suggestions generated by the recommendation generation module include but are not limited to automatically recommending appropriate timing and duration at similar time periods of the user on the previous day, and the usage suggestions also include but are not limited to directly recommending the closing time after the air conditioner is turned on at similar time periods of the user on the previous day; among them, multiple usage suggestions can be recommended separately or simultaneously for the user to choose.

[0019] As a further scheme of this utility model, it further includes a sensing module, and the sensing module is arranged inside the control device main body and is used to detect the action of the user picking up the remote control.

[0020] As a further scheme of this utility model, the recommendation generation module is further used to record the time periods when the user timed twice or more on the previous day, and recommend appropriate timing and duration respectively at these two or more time periods on the second day.

[0021] As a further solution of the utility model, the data recording module includes a storage unit and a time tracking unit. The storage unit is connected to the time tracking unit. The time tracking unit is used to monitor and record the user's timed operations during a specific period of the previous day. The storage unit is used to store the data of the period and the timed duration.

[0022] As a further solution of the utility model, the recommendation generation module includes an algorithm processing unit. The algorithm processing unit is connected to the processor of the data recording module and is used to generate usage recommendations according to the data recorded by the data recording module. The confirmation and start module includes, but is not limited to, a touch screen, a button, and a voice input device. The data recording module includes a memory and a processor. The processor is connected to the memory and is used to control the recording and transmission of data. The confirmation and start module includes a touch screen located on the surface of the control device body. The touch screen is connected to the recommendation generation module and is used for the user to confirm and start the usage recommendation through the touch screen. Or the confirmation and start module includes a button located on the surface of the control device body. The button is connected to the recommendation generation module and is used for the user to confirm and start the usage recommendation through the button. Or the confirmation and start module includes a microphone located on the control device body. The microphone is connected to the recommendation generation module and is used for the user to confirm and start the usage recommendation through voice input.

[0023] As a further solution of the utility model, the control device may be, but is not limited to, a remote control or a mobile phone. The control device body includes a display screen. The display screen is connected to the recommendation generation module and is used to display the usage recommendation for the user to confirm.

[0024] Compared with the prior art, the beneficial effects of the utility model are as follows:

[0025] 1. Automatic recommendation, improving convenience: The air conditioner control device of this application can record the user's usage data of the previous day, including the specific period and the timed duration. Based on these data, the system senses when the user picks up the remote control at the same time period the next day and automatically generates usage recommendations. The user does not need to set parameters again and only needs to confirm and start through the touch screen, button or voice, which greatly improves the convenience of operation.

[0026] 2. When recommending, the air conditioner's shutdown time can be directly emphasized, which is more intuitive and avoids the situation of first mentally calculating the number of hours until the stop time. For example, when the user sets the air conditioner to turn on during the lunch break and turn off at the end of the lunch break, the system will directly recommend "Set to turn off at 14:30" instead of "Set for 2 hours" the next day. This design improves the convenience and accuracy of use.

[0027] 3. Elderly-friendly design: For example, it is recommended on the touch screen. When elderly users use it, they only need to press one key to complete the timing setting, or they can complete the timing by pressing a button. This design is very friendly to elderly users, with simple and clear operations, greatly improving the usage experience and satisfaction of elderly users.

[0028] 4. Save time and effort: Users no longer need to manually repeat the setting of air conditioner parameters every day. The system automatically generates suggestions based on the data of the previous day, and users only need to simply confirm. This design significantly saves users' time and effort, making daily life more efficient.

[0029] Additional aspects and advantages of the present utility model will be given in part in the following description, become apparent in part from the following description, or be understood through the practice of the present utility model. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present utility model or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present utility model. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0031] Figure 1 It is a schematic diagram of the module cooperation of an air conditioner control device with a function of recommending based on the user's habits of the previous day according to the present utility model. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present utility model. Obviously, the described embodiments are only some embodiments of the present utility model, rather than all embodiments. Based on the embodiments of the present utility model, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present utility model.

[0033] Please refer to Figure 1 , an air conditioner control device with a function of recommending based on the user's habits of the previous day, including a control device main body, a data recording module, a recommendation generation module, and a confirmation and start module;

[0034] The control device main body is used to accommodate each module;

[0035] The data recording module is arranged inside the control device main body and is used to record the timing period and / or timing duration data of the user on the previous day, and these data are used to analyze the user's usage habits;

[0036] The usage suggestions generated by the recommendation generation module include, but are not limited to, automatically recommending appropriate timing and duration at similar time periods of the previous day for the user, and the usage suggestions also include, but are not limited to, directly recommending the shutdown time after the air conditioner is turned on at similar time periods of the previous day for the user; among them, multiple usage suggestions can be recommended separately or simultaneously for the user to choose from.

[0037] Among them, the algorithm processing unit in the recommendation generation module generates usage suggestions using the user's usage habits of the previous day. This algorithm is mainly implemented through rule algorithms and machine learning algorithms, and the steps and principles are as follows:

[0038] I. Rule algorithm, the steps are as follows:

[0039] 1. Data collection: Read the user's usage data of the previous day from the data recording module, including the air conditioner turn-on time, turn-off time, and timing duration.

[0040] 2. Time period matching: Determine whether it is in a usage time period similar to that of the previous day according to the current time. For example, if the current time is 9:30 pm, then match the time period from 9:00 to 10:00 pm of the previous day.

[0041] 3. Suggestion generation: Generate recommendation suggestions, including the timing parameters for similar time periods. For example, if the air conditioner was turned on at 10:00 pm the previous day and turned off at 2:00 am, it is recommended to turn on at 10:00 pm and set a timer to turn off after 4 hours.

[0042] 4. Display suggestions: Display the recommended timing parameters on the display screen of the control device and wait for the user to confirm.

[0043] Its principle is: This algorithm is based on simple time period matching, and uses the user's usage habits of the previous day to generate similar usage suggestions. It is easy to operate and has a small amount of calculation, and is suitable for most scenarios.

[0044] II. Machine learning algorithm, the steps are as follows:

[0045] 1. Data preprocessing:

[0046] Obtain the user's usage data of multiple previous days from the data recording module, including the air conditioner turn-on time, turn-off time, and timing duration.

[0047] Clean and organize the data, remove outliers and missing values, and ensure the data quality.

[0048] 2. Feature extraction:

[0049] Extract the features of the user's usage habits, such as the daily usage time period, usage frequency, timing duration, etc.

[0050] Extract environmental features based on external sensor data (such as temperature sensors, activity sensors).

[0051] 3. Model training:

[0052] Use the extracted feature data to train a machine learning model, such as a decision tree, random forest, or support vector machine.

[0053] The model learns the user's usage habits based on the user's historical usage data and can predict the user's usage requirements during a specific time period.

[0054] 4. Recommendation generation:

[0055] Input the current time and environmental features into the trained model to predict the user's usage requirements during the current time period.

[0056] Generate recommended timing parameters according to the model output, including the start time, end time, and timing duration.

[0057] 5. Display suggestions: Display the timing parameters recommended by the model on the display screen of the control device and wait for the user to confirm.

[0058] The principle is as follows: The algorithm uses a machine learning model to learn the user's usage habits from the user's historical data, and combines the current time and environmental features to generate more accurate usage suggestions. By continuously updating and training the model, it can adapt to changes in the user's habits and improve the accuracy of recommendations and the user experience.

[0059] Specific implementation steps:

[0060] 1. The data recording module records the user's usage data from the previous day: including the start time, end time, and timing duration.

[0061] 2. The recommendation generation module reads the data: When the user uses the air conditioner again, the recommendation generation module reads the data record from the previous day.

[0062] 3. The algorithm processing unit generates suggestions:

[0063] If using a rule-based algorithm, directly match the usage data of a similar time period from the previous day to generate suggestions.

[0064] If using a machine learning algorithm, generate more accurate usage suggestions through preprocessing, feature extraction, and model training.

[0065] 4. Display recommendations: Display the generated usage suggestions on the display screen of the control device.

[0066] 5. User confirmation: The user confirms to start the recommended timing function through touch screen, buttons, or voice input.

[0067] In addition, in an extended embodiment, an induction module can be adopted. The induction module is arranged inside the main body of the control device and is used to detect the action of the user picking up the remote control within a specific time period. When the induction module detects that the user picks up the remote control at the same time period on the previous day, it triggers the recommendation generation module to generate usage suggestions; the previous-day habit refers to the habit of the user setting a timer using the air conditioner control device on the previous day. Even if there is an interval for the user, such as not using the air conditioner control device on a certain day, the habit of the user setting a timer using the air conditioner control device on the previous day will still be recorded. The induction module can be, for example, an acceleration sensor, which is used to detect the movement of the remote control. When the user picks up the remote control, the acceleration sensor senses the acceleration change of the remote control and sends a signal to the processing unit. After receiving the signal, the processing unit compares the current time with the time period recorded on the previous day. If they match, it triggers the recommendation generation module to generate usage suggestions.

[0068] The recommendation generation module is further used to record the time periods when the user set a timer two or more times on the previous day, and respectively recommend appropriate timings and durations during these two or more time periods on the second day.

[0069] Among them, the concept of "the previous day" in this technical solution is defined as the date when the user last used the air conditioner control device to perform a timing operation. This definition is not limited to the previous day in the strict sense, but also includes any day on the previous day and before it, that is, the usage habit at least once on the previous day. Even if there is an interval for the user (such as not using the air conditioner control device on a certain day), the system will still refer to the timing operation habit of the user on a certain previous day.

[0070] The specific explanation is as follows:

[0071] 1. The previous day: By default, it refers to the date when the user last used the air conditioner control device to perform a timing operation, regardless of whether this date is the previous day in the strict sense. If the user uses the air conditioner control device for multiple consecutive days, the system preferentially refers to the most recent usage record.

[0072] 2. At least once: The system will record the timing operation data of the user on any day on the previous day and before it, and preferentially use the latest record to generate usage suggestions. If the user does not use the air conditioner control device on a certain day, the system will trace back to earlier usage records to ensure the continuous effectiveness of the recommendation function.

[0073] The data recording module includes a storage unit and a time tracking unit. The storage unit is connected to the time tracking unit. The time tracking unit is used to monitor and record the user's timing operations within a specific time period on the previous day, and the storage unit is used to store the data of the time period and the timing duration.

[0074] The recommendation generation module includes an algorithm processing unit, which is connected to the processor of the data recording module and is used to generate usage recommendations based on the data recorded by the data recording module.

[0075] The confirmation and startup module includes, but is not limited to, a touch screen, a button, and a voice input device; the data recording module includes a memory and a processor, and the processor is connected to the memory and is used to control the recording and transmission of data.

[0076] The confirmation and startup module includes a touch screen located on the surface of the control device body, and the touch screen is connected to the recommendation generation module, and is used for the user to confirm and start the usage recommendation through the touch screen.

[0077] The confirmation and startup module includes a button located on the surface of the control device body, and the button is connected to the recommendation generation module, and is used for the user to confirm and start the usage recommendation through the button.

[0078] The confirmation and startup module includes a microphone located on the control device body, and the microphone is connected to the recommendation generation module, and is used for the user to confirm and start the usage recommendation through voice input.

[0079] The control device may be, including but not limited to, a remote control or a mobile phone; the control device body includes a display screen, and the display screen is connected to the recommendation generation module and is used to display the usage recommendation for the user to confirm.

[0080] An air conditioner control method for recommending functions at a specific time based on the user's previous day's habits includes the following steps: a. Record the timed operation data of the user in a specific time period on the previous day, including the timed time period and the timed duration; b. Analyze the user's usage habits based on the recorded data; c. Generate usage recommendations, and the usage recommendations include recommending appropriate timing and duration at similar time periods on the user's previous day; d. Display the usage recommendations to the user and receive the user's confirmation; e. Automatically start the air conditioner control operation according to the user-confirmed recommendations.

[0081] The above steps can be implemented in the form of a hardware device, an application program or a small program. The hardware device includes, but is not limited to, a remote control and an air conditioner control panel; the application program and the small program can run on a mobile device, a computer or a smart home device.

[0082] The step of generating usage recommendations further includes recording the time periods when the user has timed twice or more on the previous day, and respectively recommending appropriate timing and duration at these two or more time periods on the next day.

[0083] Embodiment 1:

[0084] At night, users usually use the timing function of the air conditioner to ensure a comfortable temperature during sleep and automatically turn off the air conditioner at a specific time to save energy. Existing air conditioner control devices require users to manually set the timing parameters every night, including the start time, end time, and operating mode. This repetitive operation is not only time-consuming and laborious but also error-prone, especially for elderly users, who find it inconvenient to operate.

[0085] This embodiment provides an air conditioner control device with a function of recommending based on the user's previous day's habits to solve the above problems. The air conditioner control device includes a control device main body, a data recording module, a recommendation generation module, and a confirmation start module. The specific usage method and principle are as follows:

[0086] 1. Data recording: When the user uses the air conditioner on the first night, the timing parameters, including the start time, end time, and operating mode, are set through the remote control. The data recording module will record these parameters in real time and store them in the internal memory. The data recording module also includes a time tracking unit for monitoring the user's operation time period and the specific timing duration.

[0087] 2. Recommendation generation: When the user uses the air conditioner again on the second night, the recommendation generation module of the remote control will read the data record of the previous day and generate usage suggestions based on this data. For example, if the user set the air conditioner to start at 10 pm and turn off at 2 am on the first night, the recommendation generation module will generate the same or similar timing parameter suggestions during the same time period on the second night.

[0088] During this process, for example, if the user set the timing parameters at 21:30 on the first night, then within a time range on the second night, such as 21:00 - 22:00, when the user picks up the air conditioner control device, the recommended generated suggestions can appear. At this time, the user can directly choose to accept this suggestion or ignore it. After the user ignores this suggestion, when the user adjusts the temperature and then picks up the air conditioner control device again, as long as it is within this time period, this recommended generated suggestion will appear, facilitating the user to choose to accept it according to their needs at any time. At the same time, 21:00 - 22:00 is just an example of the time period. In actual use, it can also be 21:00 - 23:30, etc.; and it can also be that after 21:00, every time the user picks up the remote control, this recommendation is displayed. At the same time, this recommendation should not affect the normal use of the user. For example, when the user does not choose to use this recommendation, this recommendation will not affect the normal use of the air conditioner control device by the user. For example, the specific way is an extended implementation method that those of ordinary skill in the art can know.

[0089] 3. Confirmation and startup: When the user picks up the remote control to set the air conditioner on the second night, the recommended timing parameters will be automatically displayed on the display screen of the remote control. The user can confirm and start the recommended timing function through touch screen, buttons or voice input. For example, the user can simply click the virtual confirmation button on the touch screen, press a dedicated confirmation button, or say "confirm" through a voice command to complete the timing setting. This design is particularly user-friendly for elderly users, simplifying the operation steps and reducing the possibility of misoperation.

[0090] 4. Specific scenario application: A certain user is accustomed to turning on the air conditioner at 10 pm and setting it to turn off at 2 am after 4 hours of timing. On the first night, the user set the relevant timing parameters through the remote control, and the data recording module recorded these settings. On the second night, when the user was about to set the air conditioner again, the remote control automatically displayed a prompt on the display screen saying "Recommended timing: Turn on at 10 pm and turn off at 2 am". The user can quickly complete the timing setting by clicking the confirmation on the touch screen without having to manually enter the parameters again. For elderly users with poor eyesight, they can start the recommended timing function by pressing the confirmation button or voice confirmation, avoiding complex operation steps.

[0091] 5. Technical principle: The data recording module accurately records the user's timing operation data of the previous day through the cooperation of the storage unit and the time tracking unit. The algorithm processing unit included in the recommendation generation module can analyze this data and generate usage recommendations that conform to the user's habits. The confirmation and startup module provides a variety of user-friendly confirmation methods to ensure that the user can conveniently and quickly start the recommended timing function.

[0092] 6. Through the air conditioner control device provided in this embodiment, when the user uses the air conditioner at night, there is no need to manually repeat the timing parameter setting every night. The system automatically generates suggestions based on the data of the previous day, and the user only needs to simply confirm. This design significantly saves the user's time and energy, improves the operation convenience, and especially provides a more user-friendly and personalized usage experience for elderly users.

[0093] Embodiment 2:

[0094] This embodiment further improves the technical solution of the air conditioner control device with a function of recommending based on the user's habits of the previous day, and adds various data recording methods, recommendation generation algorithms and confirmation and startup methods. For example:

[0095] 1. Data recording: When the user uses the air conditioner on the first night, timing parameters including the start time, end time, and operating mode are set through the remote control or external sensors. The data recording module can not only record these parameters through the internal storage unit and time tracking unit, but also obtain user operation data through external sensors (such as temperature sensors, activity sensors) and network data collection methods (such as smart home systems). All data is stored in the internal or cloud memory.

[0096] 2. Recommendation generation: When the user uses the air conditioner again on the second night, the recommendation generation module of the remote control reads the data record of the previous day and generates usage suggestions based on multiple algorithms. These algorithms include but are not limited to:

[0097] Rule algorithm: Calculated based on simple time periods and timing frequencies.

[0098] Artificial intelligence algorithm: Analyzes the user's behavior patterns and environmental data through artificial intelligence.

[0099] Machine learning algorithm: Trains a model using historical data and generates more accurate recommendations based on the user's habits and environmental changes. For example, the machine learning algorithm can predict the best timing parameters for the second night based on the user's usage in the previous few days.

[0100] 3. Confirmation and activation: When the user picks up the remote control to set the air conditioner on the second night, the recommended timing parameters are automatically displayed on the display screen of the remote control. The user can confirm and activate the recommended timing function through various methods known to those of ordinary skill in the art, which are all extended implementation methods known to those of ordinary skill in the art, such as:

[0101] Touch screen: The user only needs to click the virtual confirmation button on the touch screen.

[0102] Button: The user can press a dedicated confirmation button.

[0103] Voice input: The user can say "confirm" through a voice command to activate the recommendation.

[0104] Gesture control: Detects the user's gesture actions through a gesture sensor to activate the recommendation.

[0105] 4. Specific Scenario Application: A user is accustomed to turning on the air conditioner at 10 p.m. and setting it to turn off at 2 a.m. On the first night, the user set the relevant timing parameters through the remote control or external sensors, and the data recording module recorded these settings in various ways. On the second night, when the user was about to set the air conditioner again, the remote control automatically displayed a prompt on the display screen saying "Suggested Timing: Turn on at 10 p.m. and turn off at 2 a.m.". The user can quickly complete the timing setting by clicking to confirm on the touch screen, pressing the confirmation button, voice command, gesture control, facial recognition or any one of various other methods, without having to manually input the parameters again.

[0106] 5. Technical Principle: The data recording module accurately records the user's timing operation data from the previous day through the cooperation of the storage unit, time tracking unit, internal or external sensors, and network data collection methods. The algorithm processing unit included in the recommendation generation module can analyze this data and generate usage suggestions that conform to the user's habits based on rule algorithms, artificial intelligence algorithms or machine learning algorithms. The confirmation start module provides a variety of friendly confirmation methods, including touch screen, button, voice input, gesture control and facial recognition, etc., to ensure that users can conveniently and quickly start the recommended timing function.

[0107] Through the improvement of this embodiment, the intelligence level and operation convenience of the air conditioner control device are further enhanced, which not only meets the needs of ordinary users, but is also particularly suitable for the use of elderly users, providing a more friendly and personalized user experience.

[0108] Embodiment 3:

[0109] At night, users usually use the timing function of the air conditioner to ensure a comfortable temperature during sleep and automatically turn off the air conditioner at a specific time to save energy. Existing air conditioner control devices require users to manually set the timing parameters every night. This repeated operation is not only time-consuming and laborious, but also prone to errors, especially for elderly users, it is even more inconvenient to operate.

[0110] This embodiment provides an air conditioner control device with a function of recommending based on the user's habits of the previous day to solve the above problems. The air conditioner control device includes a control device main body, a data recording module, a recommendation generation module and a confirmation start module. Its specific usage method and principle are as follows:

[0111] 1. Data Recording: When the user uses the air conditioner on the first night, the user sets the timing parameters through the remote control, including the start time, end time and operation mode. The data recording module will record these parameters in real time and store them in the internal memory. The data recording module also includes a time tracking unit for monitoring the user's operation time period and specific timing duration.

[0112] 2. Recommendation Generation: When the user uses the air conditioner again on the second night, the recommendation generation module will read the data records of the previous day and generate usage suggestions based on these data. For example, if the user set the air conditioner to turn on at 10 pm and turn off at 2 am on the first night, the recommendation generation module will generate the same or similar timing parameter suggestions during the same time period on the second night. If the user set the timing parameters at 21:30 on the previous night, then within a time range on the second night, such as 21:00 - 22:00, when the user picks up the air conditioner control device, the recommended suggestions will appear. The user can directly choose to accept this suggestion or ignore it at this time; if the user ignores this suggestion and picks up the remote control again, as long as it is within this time period, the recommended suggestions will appear again, facilitating the user to choose to accept according to their needs at any time. At the same time, it can also be set to any time period after 21:00, and this recommendation will be displayed every time the user picks up the remote control to facilitate the user to choose to accept.

[0113] 3. Does Not Affect Normal Use: In the case where the user does not choose to use the recommendation, this recommendation will not affect the user's normal use of the air conditioner control device. For example, when the user ignores the recommendation and adjusts the temperature or other settings, the prompt generated by the recommendation will disappear, and the user can normally use the remote control to set the air conditioner parameters. This method ensures the friendliness and non-interference of the recommendation function. When the user picks up the remote control again within this specific time period, the recommendation will be displayed again, and generally, users can conveniently choose to use it according to the recommendation later.

[0114] 4. Confirmation to Start: When the user picks up the remote control to set the air conditioner on the second night, the recommended timing parameters will be automatically displayed on the display screen of the remote control. The user can confirm to start the recommended timing function through touch screen, button or voice input. For example, the user only needs to click the virtual confirmation button on the touch screen, or press a dedicated confirmation button, or say "confirm" through a voice command to complete the timing setting. This design is especially friendly to elderly users, simplifies the operation steps, and reduces the possibility of misoperation.

[0115] 5. Specific Scenario Application: A certain user is used to turning on the air conditioner at 10 pm and setting a timer to turn it off at 2 am after 4 hours. On the first night, the user set the relevant timing parameters through the remote control, and the data recording module recorded these settings. On the second night, when the user was about to set the air conditioner again, the remote control automatically displayed a prompt on the display screen saying "Recommended Timing: Turn on at 10 pm and turn off at 2 am". The user can quickly complete the timing setting by clicking the confirmation on the touch screen without having to manually enter the parameters again. For elderly users with poor eyesight, they can start the recommended timing function by pressing the confirmation button or voice confirmation, avoiding complex operation steps.

[0116] 6. Technical Principle: The data recording module accurately records the user's timed operation data of the previous day through the cooperation of the storage unit and the time tracking unit. The algorithm processing unit included in the recommendation generation module can analyze this data and generate usage suggestions that conform to the user's habits. The confirmation activation module provides a variety of friendly confirmation methods to ensure that the user can conveniently and quickly activate the recommended timed function.

[0117] With the air conditioner control device provided by this embodiment, when the user uses the air conditioner at night, there is no need to manually repeat the setting of the timing parameters every night. The system automatically generates suggestions based on the data of the previous day, and the user only needs to simply confirm. This design significantly saves the user's time and energy and improves the operation convenience. Especially for elderly users, it provides a more friendly and personalized usage experience. In particular, the system will not interfere with the user's normal operation when the user does not choose to use the recommendation, ensuring the coherence and comfort of the usage experience.

[0118] Embodiment 4:

[0119] In this embodiment, the air conditioner control device based on the recommendation function according to the user's habits of the previous day is further improved. Especially for the time periods when the user sets the timing two or more times on the previous day, appropriate timings and durations are recommended respectively for these two or more time periods on the next day.

[0120] 1. Data Recording: When the user uses the air conditioner on the first day, the user sets the timing parameters through the remote control at the lunch break time and at night respectively. For example, the user sets the air conditioner to turn on at 12:30 and turn off at 14:30 during the lunch break; and sets the air conditioner to turn on again at 10 pm and turn off at 2 am. The data recording module records these parameters in real time and stores them in the internal memory. The data recording module includes a time tracking unit for monitoring and recording the user's operation time period and the specific timing duration.

[0121] 2. Recommendation Generation: When the user uses the air conditioner again on the second day, the recommendation generation module reads the data record of the previous day and generates usage suggestions based on this data. The recommendation generation module generates recommendations at similar time periods during the lunch break and at night according to the timed operations of the previous day. For example, during the lunch break time period on the second day (such as 12:00 - 13:00), when the user picks up the remote control, a prompt of "Suggested Timing" will appear on the system; or even if the user does not pick up the remote control, this recommendation will be continuously displayed on the remote control during this time period. A prompt of "Suggested Timing" will appear at night (such as 9:30 - 10:30). The user can choose to accept or ignore these suggestions. If the user ignores the suggestions and picks up the remote control again, as long as it is within the above time periods, the recommendation generation module will display these suggestions again.

[0122] 3. Confirmation to Start: When the user picks up the remote control to set the air conditioner during lunch break or at night, the recommended timing parameters will be automatically displayed on the display screen of the remote control. The user can confirm to start the recommended timing function through touch screen, buttons or voice input. For example, the user can simply click the confirmation button on the touch screen, press the dedicated confirmation button, or say "confirm" through a voice command to complete the timing setting. This design is especially user-friendly for all users, simplifies the operation steps, and reduces the possibility of misoperation.

[0123] 4. Specific Scenario Application: In summer, the children at home take a lunch break at noon. To avoid forgetting to turn off the air conditioner in a hurry when going to school in the morning, parents can set the air conditioner to turn on during the lunch break and turn off at the end of the lunch break the day before, and then set the air conditioner to turn on again at night and turn off at night. The data recording module will record these timing parameters. During the lunch break period the next day, when the parent is about to set the air conditioner again, the remote control will automatically display a prompt of "Recommended Timing" on the display screen. Even if the parent does not pick up the remote control, the remote control will display this recommendation during this period to ensure that the parent does not forget to set the timing. The parent can quickly complete the timing setting by clicking the confirmation on the touch screen to ensure that the child has a suitable temperature during the lunch break. At night, when the parent is about to set the air conditioner again, the remote control will automatically display a prompt of "Recommended Timing" on the display screen. The parent can start the recommended timing function by pressing the confirmation button or voice confirmation, avoiding complex operation steps.

[0124] 5. Technical Principle: The data recording module accurately records the timing operation data of the user the day before through the cooperation of the storage unit and the time tracking unit. The algorithm processing unit included in the recommendation generation module can analyze this data and generate usage suggestions that conform to the user's habits. The confirmation start module provides a variety of friendly confirmation methods to ensure that the user can conveniently and quickly start the recommended timing function.

[0125] With the air conditioner control device provided in this embodiment, the user no longer needs to manually repeat the timing parameter setting every time when using the air conditioner during lunch break and at night. The system automatically generates suggestions based on the data of the previous day, and the user only needs to simply confirm. This design significantly saves the user's time and energy, improves the operation convenience, and does not interfere with the normal operation of the user when the user does not choose to use the recommendation, ensuring the coherence and comfort of the usage experience. Especially for elderly users and children, it provides a more friendly and personalized usage experience.

[0126] Specific Scenario Effect: Through the recommendation method, the system can not only automatically generate timing suggestions based on the user's usage habits of the previous day, but also directly display the specific shutdown time, rather than simply showing the timing duration in hours. For example, if the user sets the air conditioner to turn on during the lunch break and turn off at the end of the lunch break, the next day the system will directly recommend "Timed to turn off at 14:30" instead of "Timed for 2 hours", making it more intuitive and clear for the user. This design avoids the trouble for the user to calculate in mind the specific time from the timing duration in hours, improving the convenience and accuracy of use.

[0127] Embodiment 5:

[0128] This embodiment demonstrates the ways of implementing the technical solution of the present utility model through hardware devices, applications or applets respectively.

[0129] I. Implementation through Hardware Devices:

[0130] 1. Remote Control:

[0131] a. Recording Module: The remote control is built-in with a storage chip and a clock module, which records the user's timing operation data within a specific time period of the previous day, including but not limited to the timing time period and the timing duration.

[0132] b. Analysis Module: The processor runs the pre-installed algorithm to analyze the recorded data to determine the user's usage habits.

[0133] c. Recommendation Module: The processor generates usage suggestions based on the analysis results, such as recommending appropriate timing and duration during similar time periods of the previous day for the user.

[0134] d. Display and Confirmation Module: The display screen shows the generated usage suggestions, which are confirmed by the user through buttons or touch screen. The button signals are transmitted to the processor to initiate the recommended air conditioner control operation.

[0135] 2. Air Conditioner Control Panel:

[0136] a. Recording Module: The control panel is built-in with a storage unit and a time tracking unit, which records the user's timing operation data of the previous day.

[0137] b. Analysis Module: The embedded processor analyzes the recorded data to identify the user's operation habits.

[0138] c. Recommendation Module: The processor generates suggestions based on the analysis results.

[0139] d. Display and Confirmation Module: The touch screen shows the suggestions, and the user confirms and initiates the corresponding air conditioner operation by touching.

[0140] II. Implementation through Software:

[0141] 1. Application:

[0142] a. Recording module: When the application runs on the user device, it uses the built-in clock and storage function of the device to record the user's operation data.

[0143] b. Analysis module: The algorithms within the application process the recorded data to analyze the user's habits.

[0144] c. Recommendation module: The application generates suggestions based on the analysis.

[0145] d. Display and confirmation module: The screen of the mobile device displays the suggestions, and the user confirms the suggestions by touching or clicking. The application sends instructions to the air conditioner to initiate the corresponding operations.

[0146] 2. Mini-program:

[0147] a. Recording module: The mini-program runs on the smart home device and records the user's operation data.

[0148] b. Analysis module: The mini-program analyzes the data on a cloud or local processor running on the device to generate a usage habit model.

[0149] c. Recommendation module: Generates suggestions based on the model.

[0150] d. Display and confirmation module: The display interface of the device shows the suggestions, and the user confirms them by voice or touch to initiate the corresponding air conditioner control operations.

[0151] Specific implementation examples, such as:

[0152] 1. Implementation on the remote control:

[0153] The user sets the timed switch time of the air conditioner through the remote control every day.

[0154] The time tracking unit in the remote control records these timed settings and stores the data in the storage chip.

[0155] The built-in processor runs an algorithm analysis based on the previous day's data the next day to generate new timed suggestions.

[0156] The display screen of the remote control shows these suggestions when the user operates, and the user selects and confirms the new timed settings through the buttons.

[0157] The confirmed settings are sent to the air conditioner through infrared or wireless signals to achieve automatic control.

[0158] 2. Implementation on the application:

[0159] The user sets the air conditioner timing through the application on the smartphone.

[0160] The application records the data set by the user and stores it locally or in the cloud.

[0161] The application runs an algorithm in the background to analyze the user's operation habits and generate timing suggestions.

[0162] The user opens the application the next day, sees the timing suggestions recommended by the system, and can choose to accept or modify these suggestions.

[0163] The application sends the confirmed settings to the air conditioner via wireless network to achieve automatic control.

[0164] 3. Implementation on the mini-program:

[0165] The user sets the air conditioner timing through voice commands on the mini-program of the smart speaker.

[0166] The mini-program records these commands and setting data and stores them in the cloud.

[0167] The mini-program runs an algorithm in the cloud to analyze the user's usage habits and generate timing suggestions.

[0168] The smart speaker prompts the user with new timing suggestions the next day, and the user confirms these suggestions via voice.

[0169] The confirmed settings are sent to the air conditioner through the smart home network to achieve automatic control.

[0170] Its technical principle includes:

[0171] 1. Data recording module: Through the cooperation of the storage unit and the time tracking unit, it records the user's timing operation data of the previous day.

[0172] 2. Recommendation generation module: The included algorithm processing unit analyzes the data and generates usage suggestions.

[0173] 3. Confirmation and activation module: Provides multiple confirmation methods to ensure that users can conveniently and quickly activate the recommended timing function.

[0174] In the extended implementation, it also includes:

[0175] 1. Induction module: Set inside the main body of the control device, it detects the user's action of picking up the remote control within a specific time period and triggers the recommendation generation module to generate usage suggestions.

[0176] 2. Multiple timing suggestions: Records the time periods when the user timed twice or more the previous day, and recommends appropriate timings and durations respectively during these time periods the next day.

[0177] 3. Multiple confirmation methods: Include touch screen, buttons, and voice input devices. Users confirm and activate the usage suggestions through these methods.

[0178] 4. Intelligent display: The recommended timing parameters are displayed on the display screen to ensure that users can visually see and confirm the usage suggestions.

[0179] For those skilled in the art, it is obvious that the present utility model is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present utility model, the present utility model can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present utility model is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present utility model.

Claims

1. An air conditioner control device based on a function of recommending according to the user's habits of the previous day, characterized in that: It includes a control device main body, a data recording module, a recommendation generation module, and a confirmation and startup module; The control device main body is used to accommodate each module; The data recording module is arranged inside the control device main body and is used to record the timed time period and / or timed duration data of the user on the previous day, and these data are used to analyze the user's usage habits; The recommendation generation module is connected to the data recording module and is arranged inside the control device main body, and is used to generate usage suggestions based on the data recorded by the data recording module; The confirmation and startup module is connected to the recommendation generation module and is arranged on the control device main body, and is used for the user to confirm and start the usage suggestions generated by the recommendation generation module.

2. The air conditioner control device with a recommendation function based on the user's habits of the previous day according to claim 1, wherein, The usage suggestions generated by the recommendation generation module include but are not limited to automatically recommending appropriate timings and durations at similar time periods of the user on the previous day, and the usage suggestions also include but are not limited to directly recommending the shutdown time after the air conditioner is turned on at similar time periods of the user on the previous day; among them, multiple usage suggestions can be recommended separately or simultaneously for the user to choose.

3. The air conditioner control device with a recommendation function based on the user's habits of the previous day according to claim 1, characterized in that, It further includes a sensing module, and the sensing module is arranged inside the control device main body and is used to detect the action of the user picking up the remote control.

4. An air conditioner control device with a recommendation function based on the user's habits of the previous day according to claim 1, characterized in that, The recommendation generation module is further used to record the time periods when the user timed two or more times on the previous day, and recommend appropriate timings and durations respectively at these two or more time periods on the second day.

5. The air conditioner control device with a recommendation function based on the user's habits of the previous day according to claim 1, characterized in that, The data recording module includes a storage unit and a time tracking unit. The storage unit is connected to the time tracking unit. The time tracking unit is used to monitor and record the timed operations of the user within a specific time period on the previous day. The storage unit is used to store the data of the time period and the timed duration; the recommendation generation module includes an algorithm processing unit. The algorithm processing unit is connected to the processor of the data recording module and is used to generate usage suggestions according to the data recorded by the data recording module; the confirmation and startup module includes but is not limited to a touch screen, a button, and a voice input device; the data recording module includes a memory and a processor. The processor is connected to the memory and is used to control the recording and transmission of data; the confirmation and startup module includes a touch screen located on the surface of the control device main body. The touch screen is connected to the recommendation generation module and is used for the user to confirm and start the usage suggestions through the touch screen; or the confirmation and startup module includes a button located on the surface of the control device main body. The button is connected to the recommendation generation module and is used for the user to confirm and start the usage suggestions through the button; or the confirmation and startup module includes a microphone located on the control device main body. The microphone is connected to the recommendation generation module and is used for the user to confirm and start the usage suggestions through voice input.

6. The air conditioner control device with a recommendation function based on the user's habits of the previous day according to claim 1, wherein, The control device can be, but is not limited to, a remote control or a mobile phone; the control device main body includes a display screen. The display screen is connected to the recommendation generation module and is used to display the usage suggestions for the user to confirm.

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